Senior Product Manager - Preorder Data & Growth - Quick Commerce - IIM/MDI/ISB

About the Role:

We are looking for a data-first Senior Product Manager (Pre-Order & Growth) to build and scale the intelligent pre-order engine, slot-booking workflows, and top-of-funnel growth funnels at Homerun.

In Quick Commerce, demand forecasting before an order is placed is critical to inventory allocation, dark store picking speed, and rider availability. In this role, you will own the Pre-Order Data & Discovery charter - building dynamic pre-order algorithms, high-volume scheduled delivery features, out-of-stock reserve mechanics, and product discovery/cart conversion levers to optimize customer LTV and fulfillment performance.

Key Responsibilities:

1. Pre-Order Data Engine & Demand Forecasting:

• Build and own product capabilities for Pre-Orders, Morning Slotted Orders, and Planned Subscriptions (e.g., fresh milk, daily staples, festive high-demand SKUs).
• Leverage real-time and historical pre-order signals (cart additions, wishlist telemetry, micro-location search logs) to feed automated dark store replenishment and rider capacity allocation models.
• Build out-of-stock (OOS) pre-reserve tools allowing users to lock in items before stock arrives at dark stores, reducing missed demand and order abandonment.

2. Top-of-Funnel Product Growth & CRO:

• Own product growth metrics across Impression - Search - Product Detail Page (PDP) - Add-to-Cart (ATC) - Checkout.
• Conceptualize and launch growth features (nudge engines, cross-sell/up-sell carousels, gamified checkout add-ons, and dynamic AOV triggers).
• Run continuous A/B tests on search UX, personalized home feeds, and category navigation to optimize menu-to-cart (M2C) and checkout conversion rates.

3. Micro-Location & Dark Store Demand Mechanics:

• Design dynamic slot-booking interfaces and hyper-local availability engines linked directly to dark store catchment capacities (2 - 3 km radii).
• Build pricing and dynamic fee structures (express delivery fees, surge pricing, low-order fee thresholds) to balance instant 10-minute demand vs. scheduled pre-orders.

4. Data Analytics & Cross-Functional Alignment:

• Define clear success metrics (CVR, AOV, Pre-Order Fulfillment Rate, OTIF, Search-to-Cart Conversion, Cart Abandonment Rate).
• Partner directly with Data Science, Engineering, Dark Store Logistics, and Category Strategy teams to translate complex supply chain constraints into smooth B2C consumer features.

Requirements & Candidate Profile:

• Experience: 5 - 7 years of total product management experience, with at least 3+ years explicitly inside a pure-play Quick Commerce platform (Blinkit, Zepto, Swiggy Instamart, Flipkart Minutes).
• Pre-Order & Supply Data Expertise: Deep hands-on experience building pre-order, scheduled/slotted delivery, or inventory reservation engines connected to warehouse/dark store OMS/WMS software.
• Growth & Funnel Mastery: Strong track record in consumer product growth, CRO, funnel experimentation, and retention/LTV mechanics.
• Technical & Analytics Stack: Proficient in SQL, Mixpanel/Amplitude, GA4, Figma, and Agile PRD frameworks. High comfort working alongside ML/Data Science teams building predictive demand models.
• Education: B.Tech or MBA from a Tier-1 institution (IIT, NIT, BITS, IIM, or equivalent).